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Volumn 9, Issue 9, 2016, Pages 4102-4116

Bilayer Elastic Net Regression Model for Supervised Spectral-Spatial Hyperspectral Image Classification

Author keywords

Alternating direction method of multiplier (ADMM); bilayer elastic net (ELN2); hyperspectral image (HSI) classification; maximum a posterior marginal (MPM); regularized multinomial logistic regression (RegMLR); spectralspatial analysis

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONSTRAINED OPTIMIZATION; LAGRANGE MULTIPLIERS; MARKOV PROCESSES; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS; SPECTROSCOPY;

EID: 84973573012     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2559524     Document Type: Article
Times cited : (18)

References (38)
  • 1
    • 85032751634 scopus 로고    scopus 로고
    • Advances in hyperspectral image classification: Earth monitoring with statistical learning methods
    • Jan.
    • G. Camps-Valls, D. Tuia, L. Bruzzone, and J. A. Benediktsson, "Advances in hyperspectral image classification: Earth monitoring with statistical learning methods," IEEE Signal Process. Mag., vol. 31, no. 1, pp. 45-54, Jan. 2013.
    • (2013) IEEE Signal Process. Mag. , vol.31 , Issue.1 , pp. 45-54
    • Camps-Valls, G.1    Tuia, D.2    Bruzzone, L.3    Benediktsson, J.A.4
  • 3
    • 4344614511 scopus 로고    scopus 로고
    • Classification of hyperspectral remote sensing images with support vector machines
    • Aug.
    • F. Melgani and L. Bruzzone, "Classification of hyperspectral remote sensing images with support vector machines," IEEE Trans. Geosci. Remote. Sens., vol. 42, no. 8, pp. 1778-1790, Aug. 2004.
    • (2004) IEEE Trans. Geosci. Remote. Sens. , vol.42 , Issue.8 , pp. 1778-1790
    • Melgani, F.1    Bruzzone, L.2
  • 4
    • 0040528764 scopus 로고
    • Multinomial logistic regression algorithm
    • Mar.
    • D. Bohning, "Multinomial logistic regression algorithm," Ann. Inst. Stat. Math., vol. 44, no. 1, pp. 197-200, Mar. 1992.
    • (1992) Ann. Inst. Stat. Math. , vol.44 , Issue.1 , pp. 197-200
    • Bohning, D.1
  • 5
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognizers
    • Jan.
    • G. Hughes, "On the mean accuracy of statistical pattern recognizers," IEEE Trans. Inf. Theory, vol. 14, no. 1, pp. 55-63, Jan. 1968.
    • (1968) IEEE Trans. Inf. Theory , vol.14 , Issue.1 , pp. 55-63
    • Hughes, G.1
  • 6
    • 85032751896 scopus 로고    scopus 로고
    • Hyperspectral image data analysis as a high dimensional signal processing problems
    • Jan.
    • D. Landgrebe, "Hyperspectral image data analysis as a high dimensional signal processing problems," IEEE Signal Process. Mag., vol. 19, no. 1, pp. 17-28, Jan. 2002.
    • (2002) IEEE Signal Process. Mag. , vol.19 , Issue.1 , pp. 17-28
    • Landgrebe, D.1
  • 7
    • 79151483750 scopus 로고    scopus 로고
    • Modeling and classifying hyperspectral imagery by CRFs with sparse higher order potentials
    • Feb.
    • P. Zhong and R. Wang, "Modeling and classifying hyperspectral imagery by CRFs with sparse higher order potentials," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 2, pp. 688-705, Feb. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.2 , pp. 688-705
    • Zhong, P.1    Wang, R.2
  • 8
    • 77950318334 scopus 로고    scopus 로고
    • Regularized multinomial regression method for hyperspectral data classification via pathwise coordinate optimization
    • Dec.
    • J. Li and Y. Qian, "Regularized multinomial regression method for hyperspectral data classification via pathwise coordinate optimization," Dig. Image Comput.: Techn. Appl., Dec. 2009, pp. 540-545.
    • (2009) Dig. Image Comput.: Techn. Appl. , pp. 540-545
    • Li, J.1    Qian, Y.2
  • 9
    • 0001287271 scopus 로고    scopus 로고
    • Regularization and variable selection with lasso
    • Jan.
    • R. Tibshirani, "Regularization and variable selection with lasso," J. Roy. Statist. Soc. B, vol. B, no. 58, pp. 267-288, Jan. 1996.
    • (1996) J. Roy. Statist. Soc. B , vol.B , Issue.58 , pp. 267-288
    • Tibshirani, R.1
  • 12
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the Elastic Net
    • Mar.
    • H. Zou and T. Hastie, "Regularization and variable selection via the Elastic Net," J. Roy. Stat. Soc. Ser. B Stat. Methodol., vol. 67, no. 2, pp. 301-320, Mar. 2005.
    • (2005) J. Roy. Stat. Soc. Ser. B Stat. Methodol. , vol.67 , Issue.2 , pp. 301-320
    • Zou, H.1    Hastie, T.2
  • 13
    • 33746154240 scopus 로고    scopus 로고
    • The doubly regularized support vector machines
    • Mar.
    • L. Wang, J. Zhu, and H. Zou, "The doubly regularized support vector machines," Statistica Sinica, vol. 16, no. 2, pp. 589-615, Mar. 2006.
    • (2006) Statistica Sinica , vol.16 , Issue.2 , pp. 589-615
    • Wang, L.1    Zhu, J.2    Zou, H.3
  • 14
    • 84894667611 scopus 로고    scopus 로고
    • Large-Scale elastic net regularized linear classification SVMs and logistic regression
    • Dallas, TX, Dec.
    • P. Balamurugan, "Large-Scale elastic net regularized linear classification SVMs and logistic regression," in IEEE 13th Proc. Int. Conf. DataMining, Dallas, TX, pp. 949-954, Dec. 2013.
    • (2013) IEEE 13th Proc. Int. Conf. DataMining , pp. 949-954
    • Balamurugan, P.1
  • 15
    • 79960148097 scopus 로고    scopus 로고
    • Super-linear convergence of dual augmented Lagrangian algorithm for sparse learning
    • arXiv:0911.4046, May
    • R. Tomioka, T. Suzuki, and M. Sugiyama, "Super-linear convergence of dual augmented Lagrangian algorithm for sparse learning," J. Mach. Learning Res., arXiv:0911.4046, pp. 1537-1586, May 2011.
    • (2011) J. Mach. Learning Res. , pp. 1537-1586
    • Tomioka, R.1    Suzuki, T.2    Sugiyama, M.3
  • 17
    • 84874093534 scopus 로고    scopus 로고
    • Sequential alternating proximal method for scalable sparse structural SVMs
    • P. Balamurugan, S. Shevade, and T. R. Babu, "Sequential alternating proximal method for scalable sparse structural SVMs," in Proc. Int. Conf. Data Mining, 2012, vol. 61, no. 70, pp. 10-13.
    • (2012) Proc. Int. Conf. Data Mining , vol.61 , Issue.70 , pp. 10-13
    • Balamurugan, P.1    Shevade, S.2    Babu, T.R.3
  • 18
    • 77950537175 scopus 로고    scopus 로고
    • Regularization paths for generalized linear models via coordinate descent
    • Jan.
    • J. H. Friedman, T. Hastie, and R. Tibshirani, "Regularization paths for generalized linear models via coordinate descent," J. Stat. Softw., vol. 33, no. 1, pp. 844-856, Jan. 2010.
    • (2010) J. Stat. Softw. , vol.33 , Issue.1 , pp. 844-856
    • Friedman, J.H.1    Hastie, T.2    Tibshirani, R.3
  • 19
    • 80052087931 scopus 로고    scopus 로고
    • Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields
    • Mar.
    • J. Li, J. M. Bioucas-Dias, and A. Plaza, "Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 3, pp. 809-823, Mar. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.3 , pp. 809-823
    • Li, J.1    Bioucas-Dias, J.M.2    Plaza, A.3
  • 22
    • 85027922419 scopus 로고    scopus 로고
    • Supervised spectral-spatial hyperspectral image classification with weighted Markov random fields
    • Mar.
    • L. Sun, Z. Wu, J. Liu, L. Xiao, and Z. Wei, "Supervised spectral-spatial hyperspectral image classification with weighted Markov random fields," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 3, pp. 1490-1503, Mar. 2015.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.3 , pp. 1490-1503
    • Sun, L.1    Wu, Z.2    Liu, J.3    Xiao, L.4    Wei, Z.5
  • 23
    • 84896316919 scopus 로고    scopus 로고
    • SpectralSpatial classification of hyperspectral images based on hidden markov random fields
    • May
    • P. Ghamisi, J. A. Benediktsson, and M. O. Ulfarsson, "SpectralSpatial classification of hyperspectral images based on hidden markov random fields," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 5, pp. 2565-2574, May 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.5 , pp. 2565-2574
    • Ghamisi, P.1    Benediktsson, J.A.2    Ulfarsson, M.O.3
  • 25
    • 84872922940 scopus 로고    scopus 로고
    • Spectral-Spatial classification of hyperspectral data using loopy belief propagation and active learning
    • Feb.
    • J. Li, J. M. Bioucas-Dias, and A. Plaza, "Spectral-Spatial classification of hyperspectral data using loopy belief propagation and active learning," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 2, pp. 844-856, Feb. 2013.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.2 , pp. 844-856
    • Li, J.1    Bioucas-Dias, J.M.2    Plaza, A.3
  • 26
    • 0035509961 scopus 로고    scopus 로고
    • Efficient approximate energy minimization via graph cuts
    • Nov.
    • Y. Boykov, O. Veksler, and R. Zabih, "Efficient approximate energy minimization via graph cuts," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 1, pp. 1222-1239, Nov. 2001.
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell. , vol.23 , Issue.1 , pp. 1222-1239
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 27
    • 84886056511 scopus 로고    scopus 로고
    • Bayesian structure learning for Markov random fields with a spike and slab prior
    • arXiv:1206.1088
    • Y. Chen and M. Welling, "Bayesian structure learning for Markov random fields with a spike and slab prior," in Proc. Uncertainty Artif. Intell., arXiv:1206.1088, pp. 174-184, 2012.
    • (2012) Proc. Uncertainty Artif. Intell. , pp. 174-184
    • Chen, Y.1    Welling, M.2
  • 28
    • 77958017904 scopus 로고    scopus 로고
    • SVM-and MRF-based method for accurate classification of hyperspectral images
    • Oct.
    • Y. Tarabalka, M. Fauvel, J. Chanussot, and J. A. Benediktsson, "SVM-and MRF-based method for accurate classification of hyperspectral images," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 4, pp. 736-740, Oct. 2010.
    • (2010) IEEE Geosci. Remote Sens. Lett. , vol.7 , Issue.4 , pp. 736-740
    • Tarabalka, Y.1    Fauvel, M.2    Chanussot, J.3    Benediktsson, J.A.4
  • 30
    • 79951838072 scopus 로고    scopus 로고
    • An augmented Lagrangian approach to the constrained optimization formulation of imaging inverse problems
    • Mar.
    • M. Afonso, J. Bioucas-Dias, and M. Figueiredo, "An augmented Lagrangian approach to the constrained optimization formulation of imaging inverse problems," IEEE Trans. Image Process., vol. 20, no. 3, pp. 681-695, Mar. 2011.
    • (2011) IEEE Trans. Image Process. , vol.20 , Issue.3 , pp. 681-695
    • Afonso, M.1    Bioucas-Dias, J.2    Figueiredo, M.3
  • 31
    • 84869498082 scopus 로고    scopus 로고
    • Total variation spatial regularization for sparse hyperspectral unmixing
    • Nov.
    • M. D. Iordache, J. M. Bioucas-Dias, and A. Plaza, "Total variation spatial regularization for sparse hyperspectral unmixing," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 11, pp. 4484-4502, Nov. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.11 , pp. 4484-4502
    • Iordache, M.D.1    Bioucas-Dias, J.M.2    Plaza, A.3
  • 32
    • 85012251675 scopus 로고    scopus 로고
    • A new alternating minimization algorithm for total variation image reconstruction
    • Aug.
    • Y. Wang, J. Yang, W. Yin, and Y. Zhang, "A new alternating minimization algorithm for total variation image reconstruction," SIAM J. Imag. Sci., vol. 1, no. 3, pp. 248-272, Aug. 2008.
    • (2008) SIAM J. Imag. Sci. , vol.1 , Issue.3 , pp. 248-272
    • Wang, Y.1    Yang, J.2    Yin, W.3    Zhang, Y.4
  • 34
    • 80053571096 scopus 로고    scopus 로고
    • Hyperspectral image classification using dictionary-based sparse representation
    • Oct.
    • Y. Chen and N. M. Nasrabadi, "Hyperspectral image classification using dictionary-based sparse representation," IEEE Trans. Geosci. Remote. Sens., vol. 49, no. 10, pp. 3973-3985, Oct. 2011.
    • (2011) IEEE Trans. Geosci. Remote. Sens. , vol.49 , Issue.10 , pp. 3973-3985
    • Chen, Y.1    Nasrabadi, N.M.2
  • 35
    • 84871731919 scopus 로고    scopus 로고
    • Hyperspectral image classification via kernel sparse representation
    • Jan.
    • Y. Chen, N. M. Nasrabadi, and T. D. Tran, "Hyperspectral image classification via kernel sparse representation," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 1, pp. 217-237, Jan. 2013.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.1 , pp. 217-237
    • Chen, Y.1    Nasrabadi, N.M.2    Tran, T.D.3
  • 38
    • 80053562930 scopus 로고    scopus 로고
    • Hyperspectral image segmentation using a new Bayesian approach with active learning
    • J. Li, J. M. Bioucas-Dias, and A. Plaza, "Hyperspectral image segmentation using a new Bayesian approach with active learning," IEEE Trans. Geosci. Remote Sens., vol. 49, pp. 3947-3960, 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , pp. 3947-3960
    • Li, J.1    Bioucas-Dias, J.M.2    Plaza, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.